Page 101 - Applied Statistics Using SPSS, STATISTICA, MATLAB and R

80 2 Presenting and Summarising the Data

2.22 Consider the classifications of foetal heart rate performed by the human expert 3
(variable E3C) and by an automatic system (variable SPC) contained in the FHR
dataset.
a) Determine two new variables, E3CB and SPCB, which dichotomise the
classifications in {Normal} vs. {Suspect, Pathologic}.
b) Determine the 2×2 contingency table of E3CB and SPCB.
c) Determine appropriate association measures and assess whether knowing the
automatic system classification helps predicting the human expert classification.

2.23 Redo Example 2.9 and 2.10 for the variables Q1 and Q4 and comment on the results
obtained.

2.24 Consider the leadership evaluation of metallurgic firms, included in the M etal
Firms’ dataset, performed by means of seven variables, from TW = “Team Work”
through DC = “Dialogue with Collaborators”. Compute the coefficient of agreement of
the seven variables, verifying that they do not agree in the assessment of leadership
evaluation.
2.25 Determine the contingency tables and degrees of association between variable
TW = “Team Work” and all the other leadership evaluation variables of the Metal
Firms’ dataset.

2.26 Determine the contingency table and degree of association between variable
AB = “Previous knowledge of Boole’s Algebra” and BA = “Previous knowledge of
binary arithmetic” of the Programming dataset.